Identification of factors to reduce the energy costs of dispersing in jets

Larisa Gorobets, Inna Verkhorobina, Volodymyr Biletsky, Andrii Kryvenko, Mykhailo Hryshchenko, Oleksij Bulakh
2020 Eastern-European Journal of Enterprise Technologies  
This paper reports the operational indi cators for industrialsized jet grinding plants (JGP) . The dependences of specific energy consumption on productivity have been generalized. The technological pat terns in the working process were consi dered in terms of reducing energy costs using the operation of gasjet and steam jet mills at the Vilnohirsk Mining and Metallurgical Plant (VMMP) involved in crushing zircon to 60 µm as an example. The acoustic activity in the grinding area has been
more » ... relative to the concen tration of μ and in combination with the technological assessment of the mill's per formance. A broadband piezo sensor was used in the assessment of acoustic emis sion (AE). It is shown that the acoustic activity of the grinding zone contains infor mation about the effects of dispersion and energy costs for grinding, which makes it possible to estimate and minimize the spe cific energy costs. It has been established that the principal factors of JGP energy intensity are the initial temperature of the energy carrier, which sets the speed of the jet, and the concentration of solid phase in the jet, which changes the effects of dis persing. A technique has been proposed for the current assessment of energy costs in the working process of dispersion based on the experimental acoustic data and a pat tern of the acoustic dimensional effect. The estimated acoustic indicators of the ener gy cost of a jet mill for the conditions of VMMP were derived. To reduce the ener gy cost of dispersion (γ s @0.42 J/cm 2 ), the effect of adjusting the loading of jets to γ N @1.8 J/pulse is employed. Thus, this study has investigated the dispersal of solid loose material in jets with the involvement of acoustic information about the operation of jet mills, which makes it possible to compre hensively assess and minimize (optimize) the specific energy costs of grinding
doi:10.15587/1729-4061.2020.217253 fatcat:eff4iy7w5veabansfgczvijbyi